LEADER 03989nam 2200529 450 001 9910467804203321 005 20211005151934.0 010 $a0-8264-2200-4 010 $a0-8264-7517-5 035 $a(CKB)4340000000253871 035 $a(MiAaPQ)EBC5309711 035 $a(MiAaPQ)EBC4948880 035 $a(Au-PeEL)EBL4948880 035 $a(CaONFJC)MIL851823 035 $a(OCoLC)956971186 035 $a(EXLCZ)994340000000253871 100 $a20180316h20132009 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aLost battles $ereconstructing the great clashes of the ancient world /$fPhilip Sabin 205 $a1st ed. 210 1$aLondon, England :$cBloomsbury Academic,$d2013. 210 4$dİ2009 215 $a1 online resource (345 pages) $ccolor illustrations, maps 311 $a1-84725-187-0 320 $aIncludes bibliographical references. 330 $aFrom the author's introduction: Ancient battles seize the modern imagination. Far from being forgotten, they have become a significant aspect of popular culture, prompting a continuing stream of books, feature films, television programs and board and computer games... there is a certain escapist satisfaction in looking back to an era when conflicts between entire states turned on clear-cut pitched battles between formed armies, lasting just a few hours and spanning just a few miles of ground. These battles were still unspeakably traumatic and grisly affairs for those involved - at Cannae, Hannibal's men butchered around two and a half times as many Romans (out of a much smaller overall population) as there were British soldiers killed on the notorious first day of the Somme. However, as with the great clashes of the Napoleonic era, time has dulled our preoccupation with such awful human consequences, and we tend to focus instead on the inspired generalship of commanders like Alexander and Caesar and on the intriguing tactical interactions of units such as massed pikemen and war elephants within the very different military context of pre-gunpowder warfare. Lost Battles takes a new and innovative approach to the battles of antiquity. Using his experience with conflict simulation, Philip Sabin draws together ancient evidence and modern scholarship to construct a generic, grand tactical model of the battles as a whole. This model unites a mathematical framework, to capture the movement and combat of the opposing armies, with human decisions to shape the tactics of the antagonists. Sabin then develops detailed scenarios for 36 individual battles such as Marathon and Cannae, and uses the comparative structure offered by the generic model to help cast light on which particular interpretations of the ancient sources on issues such as army size fit 330 8 $ain best with the general patterns observed elsewhere. Readers can use the model to experiment for themselves by re-fighting engagements of their choice, tweaking the scenarios to accord with their own judgment of the evidence, trying out different tactics from those used historically, and seeing how the battle then plays out. Lost Battles thus offers a unique dynamic insight into ancient warfare, combining academic rigor with the interest and accessibility of simulation gaming. This book includes access to a downloadable computer simulation where the reader can view the author's simulations as well create their own. 606 $aMilitary history, Ancient 606 $aBattles$xHistory 606 $aHistory, Ancient 608 $aElectronic books. 615 0$aMilitary history, Ancient. 615 0$aBattles$xHistory. 615 0$aHistory, Ancient. 676 $a355.4738 700 $aSabin$b Philip A. G.$01051331 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910467804203321 996 $aLost battles$92481771 997 $aUNINA LEADER 05399nam 22006495 450 001 9910720077103321 005 20251009075007.0 010 $a981-9912-30-X 024 7 $a10.1007/978-981-99-1230-8 035 $a(MiAaPQ)EBC7244281 035 $a(Au-PeEL)EBL7244281 035 $a(DE-He213)978-981-99-1230-8 035 $a(OCoLC)1378390451 035 $a(PPN)270614192 035 $a(CKB)26561924100041 035 $a(EXLCZ)9926561924100041 100 $a20230502d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a3D Imaging?Multidimensional Signal Processing and Deep Learning $eImages, Augmented Reality and Information Technologies, Volume 1 /$fedited by Srikanta Patnaik, Roumen Kountchev, Yonghang Tai, Roumiana Kountcheva 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (297 pages) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v349 311 08$aPrint version: Patnaik, Srikanta 3D Imaging--Multidimensional Signal Processing and Deep Learning Singapore : Springer Singapore Pte. Limited,c2023 9789819912292 320 $aIncludes bibliographical references and index. 327 $aA Review of Temporal Network Analysis and Applications -- A Knowledge Representation Method for Hierarchical Diagnosis Decision-making Under Uncertain Conditions -- Research and Implementation of Hybrid Storage Method for Multi-Source Heterogeneous Data of Electric Distribution Network -- Research on Measuring Method of Ball Indentation Based on MATLAB Image Edge Detection -- Multi-Feature Extraction of Mineral Zoning of Tabling Through Deep Semantic Segmentation -- Research on Mass Image Data Storage Method for Data Center -- Research on Virtual and Real Spatial Data Interconnection Mapping Technology for Digital Twin -- Prediction of Breast Cancer Via Deep Learning -- Scheme Design of Network Neighbor Discovery Algorithm Based on the Combination of Directional Antenna and Multi-Channel Parallelism -- Ship Target Detection in Remote Sensing Image Based on Improved RetinaNet -- Research on the Application of 3D Modeling Technology in Mechanical Structure Teaching -- 2D Numerical Model Usedto Investigate the Influence of Vegetation on Geomorphological Evolution of Mudflats -- Design and Experimental Verification of High Functional Density Cubesat System -- Space Design of Exhibition Hall Based on Virtual Reality -- Identification of Expressway Traffic States Based on the Enhanced FCM Algorithm -- Algorithms Applied in Soft Tissue Deformation Simulation: a Survey -- Soft Tissue Cutting Based on Position Dynamics -- Research on Application Technology of Multi-Source Fusion of 3D Digital Resources in Power Grid. 330 $aThis book presents high-quality research in the field of 3D imaging technology. The fourth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first three editions of the conference to provide a wide scientific forum for researchers, academia, and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in two volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, andmany related areas. The first volume contains papers in 3D image processing, transforms, and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v349 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aSignal processing 606 $aMultimedia systems 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aSignal, Speech and Image Processing 606 $aMultimedia Information Systems 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aSignal processing. 615 0$aMultimedia systems. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aSignal, Speech and Image Processing. 615 24$aMultimedia Information Systems. 676 $a621.3822 702 $aPatnaik$b Srikanta 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910720077103321 996 $a3D Imaging?Multidimensional Signal Processing and Deep Learning$93565382 997 $aUNINA